## 字幕表 動画を再生する

• Let's check out the simple linear regression equation once again.

• Here it is.

• You have probably heard of the regression line right when we plot the data points on an X Y plane.

• The regression line is the best fitting line through the data points.

• Okay, here's a plot with some data points.

• We plant the line based on the regression equation.

• The great points that are scattered are the observed values.

• Be zero, as we said earlier, is a constant and is the intercept of the regression line with Y axis Be one is the slope of the regression line.

• It shows how much why changes for each unit.

• Change of X.

• The distance between the observed values and the regression line is the estimator of the error term Absalon.

• It's point estimate is called residual.

• Now, if you draw a perpendicular from an observed point to the regression line, the intercept between that perpendicular and the regression line is a point with a Y value equal toe.

• Why hat?

Let's check out the simple linear regression equation once again.

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# 単純な線形回帰モデル。幾何学的表現 (Simple linear regression model. Geometrical representation)

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林宜悉 に公開 2021 年 01 月 14 日